Top Senior Data Management Jobs in San Francisco Bay Area, CA

As a Principal Data Engineer at Atlassian, you will lead the development of scalable datasets and data pipelines, manage analytical data models across various business functions, and enhance data-driven practices within the organization. Your role includes optimizing data storage and retrieval, utilizing advanced analytics tools, and fostering a data-driven culture.

As the Head of Data at Philo, you'll lead a team of Data Scientists, Data Engineers, and Data Analysts to enhance data-driven decision-making across the organization. You will collaborate with various departments to deliver insights from our extensive data pipeline and oversee the execution of data projects related to user engagement and content personalization.

Lead the Personalization ML Engineering team at Cash App, focusing on integrating machine learning into product development, mentoring engineers, and identifying AI opportunities to enhance user experience. Collaborate with senior leadership and contribute to strategic planning while fostering a culture of learning and staying updated with AI advancements.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, collaborate across Capital One teams, and advocate for semantic technology implementation supporting data strategy initiatives. Responsibilities include guiding ontology-based product development, managing data modeling roadmaps, leveraging technology for solutions, and mentoring junior staff.

Lead and mentor a team of Data Scientists and UX Researchers, prioritizing high-impact research opportunities that drive business value, while overseeing daily operations and fostering a collaborative team culture. Develop research strategies that integrate quantitative and qualitative data to deliver impactful insights, and partner with various departments to align on product and design development.

As Director of Data Science and AI, you will lead a diverse team of Data Scientists, Machine Learning Engineers, and Data Analysts. Your role involves finding AI opportunities, overseeing the design and deployment of ML solutions, and collaborating with product and engineering leaders. You will guide your team towards project objectives and contribute strategically to the company's goals.

As a Director of Credit Risk & Analytics at Upgrade, you will design and implement risk assessment strategies using financial data, oversee underwriting policy changes, ensure compliance with regulations, and collaborate with various departments to enhance customer experience and reduce onboarding times.